{"id":"W7126973493","doi":"","title":"The Montreal Recommendations on Recruitment:A Roadmap Towards Better Regulation","year":2020,"lang":"en","type":"report","venue":"Pure (Coventry University)","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère des relations internationales et de la Francophonie; Government of Canada; U.S. Department of State","keywords":"Government (linguistics); Work (physics); Perspective (graphical); Context (archaeology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003375654,0.0003453473,0.0003261533,0.0003836392,0.0008464702,0.0003996016,0.0005165074,0.0002706814,0.0003179999],"category_scores_gemma":[0.000149506,0.0002998138,0.0002871171,0.0006579796,0.00005371964,0.0004293877,0.0002802696,0.0005156632,0.0004284297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004374765,"about_ca_system_score_gemma":0.0001709414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001022562,"about_ca_topic_score_gemma":0.0007038956,"domain_scores_codex":[0.9982146,0.00003900015,0.0002835334,0.0005264927,0.0005694496,0.0003669422],"domain_scores_gemma":[0.9986646,0.00007967638,0.0005039194,0.0004505322,0.0002656264,0.00003562035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001737693,0.00008165084,0.003306692,0.0001927286,0.0003332439,0.00008716687,0.00005833379,0.00007838369,0.000004775511,0.008747256,0.908043,0.07889298],"study_design_scores_gemma":[0.0004330449,0.00001479701,0.008675864,0.0001948731,0.0002980003,0.000002158833,0.0001594365,0.000169677,0.000003388473,0.001085419,0.9886434,0.0003199405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001956092,0.0001313699,0.0003302595,0.04181458,0.003541609,0.0009300429,0.00006634245,0.0004014965,0.9508282],"genre_scores_gemma":[0.4092738,0.005390523,0.0002739044,0.008299397,0.03056887,0.00005911456,0.008137569,0.0004990687,0.5374978],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4133304,"threshold_uncertainty_score":0.9999454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0861490619007897,"score_gpt":0.2605522534177067,"score_spread":0.174403191516917,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}